Senior Data Engineer (Healthcare)
Location: Remote-first approach (UK)
Salary: Up to £90,000 (DoE)
Are you a Data Engineer with a passion for building scalable data solutions and a strong background in healthcare interoperability? We’re looking for a skilled Senior Data Engineer to join our innovative team, helping us transform healthcare systems through advanced technology.
About the Role
As a Senior Data Engineer, you’ll play a key role in designing and developing data processing and persistence software components that handle data at scale. Working within agile teams, you’ll take ownership of significant technical components in data systems, leading by example in both development and mentorship.
This is an exciting opportunity to work on healthcare-specific data solutions that make a real-world impact. We are particularly seeking someone with FHIR (Fast Healthcare Interoperability Resources) expertise. If you’re passionate about tackling complex challenges and driving innovation in healthcare data systems, this is the role for you.
What You’ll Do
* Design and Develop: Build data processing software for deployment on Big Data technologies, with a focus on robust and scalable solutions.
* Healthcare Data Expertise: Utilize your experience in FHIR or other healthcare interoperability standards (e.g., HL7, CDA, DiCom) to drive the development of healthcare-specific solutions.
* Leadership: Provide technical leadership, ensuring code quality, operational readiness, and best practices.
* Collaborate: Work closely with Architects, Lead Engineers, and colleagues to overcome technical challenges and meet user needs in demanding production environments.
* Mentor: Coach and guide junior team members, promoting a culture of continuous improvement.
Essential Skills:
* Strong experience in Java, Scala, or Python for software development.
* Hands-on expertise with data-processing platforms (e.g., AWS, Azure, GCP, Databricks).
* Proven track record of developing and deploying large-scale data processing solutions in production.
* Proficiency in SQL and analytical query extensions.
* Deep understanding of ETL/ELT pipelines and distributed data processing frameworks.
* Experience writing high-quality, testable code with automated testing.
* Strong knowledge of Continuous Integration and Deployment practices.
* Healthcare Expertise: Solid experience with FHIR (preferred), or other interoperability standards such as HL7, CDA, or DiCom.
Desirable Skills:
* Experience with performance tuning for data systems.
* Knowledge of streaming and event-processing architectures (e.g., Kafka, CDC).
* Expertise in data visualization and complex data transformations.
* Familiarity with operational readiness and data best practices.
Ready to make an impact in healthcare data? Apply now!